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What is Claude AI and how does it compare to ChatGPT?

claude ai 01

Estimated reading time: 9 minutes

Created by OpenAI rival Anthropic, Claude is a “helpful, harmless and honest” chatbot with a built-in ethical makeup.

With its unique approach to AI safety and ethics, Claude is emerging as a strong competitor to ChatGPT, offering several distinct advantages.

In this article, we’ll dive deeper into what Claude AI is, how it compares to ChatGPT, and what makes it stand out in the rapidly evolving field of AI chatbots.

What is Claude AI?

claude ai chatbot
What is Claude AI and how does it compare to ChatGPT? 6

Claude is an artificial intelligence chatbot developed by Anthropic, a major AI startup that has received substantial funding from tech giants like Google and Amazon.

Anthropic's mission is to create AI systems that are more useful, harmless, and honest, while prioritizing accountability, ethics, and overall safety.

Claude is designed to generate text content and engage in natural, human-like conversations with users.

It can respond to text or image-based input and is accessible via the web or a mobile app.

AI is trained to handle a variety of tasks, including summarization, editing, Q&A, decision making, and more.

Anthropic offers a suite of three AI models under the Claude brand, each with unique capabilities:

  1. Claude 3 Opus: This model excels at handling complex tasks and open-ended prompts with remarkable fluency and human understanding.
  2. Claude 3.5 Sonnet: Designed for speed, this template is ideal for tasks that require quick responses, such as knowledge retrieval or sales automation.
  3. Claude 3 Haiku: the fastest and most compact model, it can quickly process data-dense documents and respond to simple queries with unmatched speed.

How does it work?

how to use claude ai in brazil
What is Claude AI and how does it compare to ChatGPT? 7

Claude, like other large language models (LLMs), is trained on large amounts of text data, including Wikipedia articles, news stories, and books.

It uses unsupervised learning methods to predict the most likely next word in your answers.

Additionally, Anthropic employs reinforcement learning with human feedback (RLHF) to fine-tune the model, making its responses more natural and useful.

A key differentiator for Claude is the use of constitutional AI, a unique fine-tuning method in which ethical principles guide the model’s outputs. The process involves:

  1. Definition of a constitution: An AI model is given a list of principles and examples of responses that adhere to or violate those principles.
  2. Self-assessment and correction: a second AI model evaluates how well the first model follows its constitution and corrects its responses when necessary.

For example, if asked to provide unethical information, Claude may initially comply. However, after self-assessment, he identifies the ethical issues and revises his response accordingly.

What can AI Claude do?

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Claude can perform a wide range of tasks, making it a versatile tool for both personal and professional use. Some of the features include:

  • Answer questions: Claude can provide detailed and accurate answers to user queries on a variety of topics.
  • Review and editing: AI can review and suggest improvements to written content, including cover letters, resumes, essays, and more.
  • Creative writing: Users can ask Claude to write song lyrics, short stories, or even business plans.
  • Language translation: Claude can translate text into different languages, making it a useful tool for international communication.
  • Image Description: Claude can describe images and suggest recipes based on food photos.
  • Summary: AI can summarize long documents, including PDFs, Word documents, photos, and graphs, providing concise and relevant information.
  • Business Applications: Claude can help develop business strategies, automate processes sales and recover knowledge quickly.

Despite its many features, Claude does have some limitations. Anthropic warns that Claude may generate irrelevant, inaccurate, or meaningless responses, especially when processing linked content.

Users are encouraged to copy and paste text from web pages or PDFs directly into the chat box for more accurate results.

Claude vs. ChatGPT: How Are They Different?

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While both Claude and ChatGPT are designed to engage in natural, human-like conversations and perform a variety of tasks, there are several key differences that set them apart:

  • Processing capacity: Claude can process about 200,000 words at a time, compared to GPT-4’s 64,000 words and GPT-3.5’s 25,000 words. This larger context window allows it to handle longer documents and maintain more context in conversations.
  • Exam performance: Claude models outperform GPT-3.5 on several evaluation benchmarks, including expert knowledge and reasoning. This suggests that this tool can provide more accurate and insightful answers in complex scenarios.
  • Data retention: Unlike ChatGPT, which retains user data for later training, Claude does not store user data, increasing data privacy and security.
  • Safety and ethics: Claude's constitutional AI approach makes it better at producing safe and ethical responses, reducing the likelihood of generating harmful or toxic content.

How to use Claude.ai in Brazil?

Using Claude AI It's simple. You can sign up for a free account at claude.ai with an email address and phone number.

Once registered, you can start a conversation by typing a prompt or sending documents for Claude to summarize.

The free version provides access to the Claude 3.5 Sonnet model, while the Pro version, available for US$14T20 per month, offers more prompts per day and early access to new features.

For developers and companies looking to integrate Claude into their systems, Anthropic offers API access.

This allows the creation of customized solutions that take advantage of Claude's advanced features.

Additionally, models can be accessed through Amazon Bedrock and Google Cloud’s Vertex AI platform, providing flexibility in how AI is deployed and utilized.

Future perspectives and challenges

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The field of AI is advancing rapidly, and both Claude and ChatGPT are at the forefront of these developments.

So as AI models become more sophisticated, the demand for ethical and responsible AI increases.

Anthropic’s focus on safety and ethics positions its tool as a leader in this space, but challenges remain.

One of the ongoing challenges for AI developers is balancing the tradeoffs between model complexity, performance, and security.

Therefore, as AI models grow in size and capability, ensuring they remain safe and trustworthy becomes increasingly difficult.

Regulatory frameworks and industry standards are also evolving, requiring AI companies to stay ahead of legal and ethical considerations.

Additionally, competition between AI developers like Anthropic and OpenAI drives continued innovation.

So this “race to safety,” as described by Anthropic co-founder Ben Mann, is a positive development for the industry, encouraging companies to prioritize ethical considerations in their AI systems.

Claude AI, developed by Anthropic, is a powerful and ethically-minded alternative to ChatGPT. With its superior performance, privacy, and focus on security and ethics, this new tool is well-positioned to challenge OpenAI’s dominance in the AI chatbot market.

As the field of AI continues to evolve, Anthropic’s innovative approach to AI safety and accountability could set new standards for the industry.

For users and organizations looking for a reliable AI tool, safe and ethically grounded, Claude offers an attractive option.

So, whether for personal use, commercial applications, or academic research, its advanced features and ethical framework make it a standout choice in the crowded AI landscape.

As Anthropic continues to refine and expand its AI offerings, the future looks bright for Claude and the broader AI community.

Ready to leverage the power of AI for your business? Discover the potential of AI without the need for coding experience!

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Matheus Castelo

Known as “Castelo”, he discovered the power of No-Code when he created his first startup entirely without programming – and that changed everything. Inspired by this experience, he combined his passion for teaching with the No-Code universe, helping thousands of people create their own technologies. Recognized for his engaging teaching style, he was awarded Educator of the Year by the FlutterFlow tool and became an official Ambassador for the platform. Today, his focus is on creating applications, SaaS and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

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Large Language Models (LLMs) have become one of the most talked-about technologies in recent years. Since the meteoric rise of ChatGPT, generative AI-based tools are being explored by entrepreneurs, freelancers, CLT professionals, and tech-curious individuals.

But why is understanding how LLMs work so important in 2025? Even if you don't know how to program, mastering this type of technology can open doors to automation, the creation of digital products, and innovative solutions in various areas.

In this article, we will explain in an accessible way the concept, operation and real applications of LLMs, focusing on those who want to use AI to generate value without relying on code.


What is an LLM

What is an LLM?

LLM stands for Large Language Model. It is a type of artificial intelligence model trained on huge volumes of textual data, capable of understanding, generating and interacting with human language in a natural way. Famous examples include:

  • GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Mistral
  • Perplexity IA

These models function as “artificial brains” capable of performing tasks such as:

  • Text generation
  • Automatic translation
  • Sentiment classification
  • Automatic summaries
  • Image generation
  • Automated service

How do LLMs work?

In simple terms, LLMs are built on Transformer neural networks. They are trained to predict the next word in a sentence, based on large contexts.

The more data and parameters (millions or billions), the more powerful and versatile the model becomes.

Read more: Transformers Explained – Hugging Face

Own LLMs vs. API usage: what do you really need?

Building your own LLM requires robust infrastructure, such as vector storage, high-performance GPUs, and data engineering. That's why most professionals opt for use ready-made LLMs via APIs, like those of OpenAI, Anthropic (Claude), Cohere or Google Gemini.

For those who don't program, tools like Make, Bubble, N8N and LangChain allow you to connect these models to workflows, databases, and visual interfaces, all without writing a line of code.

Additionally, technologies such as Weaviate and Pinecone help organize data into vector bases that improve LLM responses in projects that require memory or customization.

The secret is to combine the capabilities of LLMs with good practices in prompt design, automation and orchestration tools — something you learn step by step in AI Agent Manager Training.

Difference between LLM and Generative AI

Although they are related, not all generative AI is an LLM. Generative AI encompasses many different types of models, such as those that create images (e.g. DALL·E), sounds (e.g. OpenAI Jukebox), or code (e.g. GitHub Copilot).

LLMs are specialized in understanding and generating natural language.

For example, while DALL·E can create an image from a text command, such as “a cat surfing on Mars,” ChatGPT, an LLM — can write a story about that same scenario with coherence and creativity.

Examples of practical applications with NoCode

The real revolution in LLMs is the possibility of using them with visual tools, without the need for programming. Here are some examples:

Create a chatbot with Dify

As Dify Course, it is possible to set up an intelligent chatbot connected to an LLM for customer service or user onboarding.

Automate tasks with Make + OpenAI

Node Makeup Course You learn how to connect services like spreadsheets, email, and CRMs to an LLM, automating responses, data entry, and classifications.

Building AI Agents with N8N and OpenAI

O Agents with OpenAI Course teaches how to structure agents that make decisions based on prompts and context, without coding.

Advantages of LLMs for non-technical people

Advantages of LLMs for non-technical people

  • Access cutting-edge AI without having to code
  • Rapid testing of product ideas (MVPs)
  • Personalization of services with high perception of value
  • Optimization of internal processes with automations

LLMs and AI Agents: The Future of Interaction

The next evolutionary step is the combination of LLMs and AI agents. Agents are like “digital employees” that interpret contexts, talk to APIs and make decisions autonomously. If you want to learn how to build your agents with generative AI, the ideal path is AI Agent Manager Training.

We are living in an era where texts, images and videos can now be created by artificial intelligence. But there is one element that is gaining strength as a competitive advantage: the voice.

Whether in podcasts, institutional videos, tutorials or even automated service, the ability to create realistic artificial voice is changing how companies and creators communicate. And in this scenario, the ElevenLabs AI emerges as one of the global protagonists.

What is ElevenLabs
What is ElevenLabs AI? The AI-Powered Voice Revolution 14

What is ElevenLabs?

O ElevenLabs is one of the neural speech synthesizers most advanced on the market. With its technology AI voice cloning and AI-powered text to speech, allows you to create realistic voices in multiple languages, with natural intonation, dynamic pauses and surprising emotional nuances.

Key Features:

  • Human-quality Text to Speech
  • Conversational AI with support for interactive agents
  • Studio for longform audio editing
  • Speech to Text with high accuracy
  • Voice Cloning (Instant or Professional)
  • Sound Effects Generation (Text to Sound Effects)
  • Voice Design and Noise Isolation
  • Voice Library
  • Automatic dubbing in 29 languages
  • Robust API for automations with tools like N8N, Make, Zapier and custom integrations
ElevenLabs FAQ
What is ElevenLabs AI? The AI-Powered Voice Revolution 15

ElevenLabs FAQ

Find out more about the company and news from ElevenLabs directly at official website of ElevenLabs and see the API documentation.

Does ElevenLabs have an API?

Yes, ElevenLabs has a complete API that allows you to integrate speech generation with automated workflows.

With this, it is possible to create applications, service bots, or content tools with automated audio.

Discover the Make Course from NoCode Start Up to learn how to connect the ElevenLabs API with other tools.

Are ElevenLabs voices copyright free?

AI-generated voices can be used commercially, as long as you respect the platform's Terms of Use and do not violate third-party rights by cloning real voices without authorization.

Is it possible to use ElevenLabs for free?

Yes. ElevenLabs offers a free plan with 10,000 credits per month, which can be used to generate up to 10 minutes of premium quality audio or 15 minutes of conversation

This plan includes access to features like Text to Speech, Speech to Text, Studio, Automated Dubbing, API, and even Conversational AI with interactive agents.

Ideal for those who want to test the platform before investing in paid plans.

What is the best alternative to ElevenLabs?

Other options include Descript, Murf.ai and Play.ht. However, ElevenLabs has stood out for its natural voice, advanced audio editing features with AI, API integration and support for multiple languages.

Their paid plans start from US$ 5/month (Starter) with 30 thousand monthly credits, and go up to scalable corporate versions with multiple users and millions of credits.

See all available plans on the ElevenLabs website. However, ElevenLabs has stood out for the naturalness of its voice and the quality of its API.

How does ElevenLabs work?

You submit a text, choose a voice (or clone one), and AI converts that text into realistic audio in seconds. It can be used via the web dashboard or via API for automated workflows.

Examples of using ElevenLabs AI in practice

1. Video and podcast narration

Ideal for creators who want to save time or avoid the costs of professional voiceovers.

2. Automated service with human voice

Turn cold bots into realistic, empathetic voice assistants.

3. Generating tutorials and training with audio

Companies and CLT professionals can create more engaging internal materials.

4. Applications that “talk” to the user

With tools like Bubble, FlutterFlow or WebWeb, it is possible to integrate AI voice into apps.

How to integrate ElevenLabs with NoCode tools

NoCode tools
What is ElevenLabs AI? The AI-Powered Voice Revolution 16

N8N + ElevenLabs API

Allows you to automate voice generation based on dynamic data using visual workflows in N8N. It is ideal for creating processes such as audio customer service responses, automated voice updates, and more.

Discover the N8N Course from NoCode Start Up

OpenAI Agents + ElevenLabs

With the use of AI agents, it is possible to create voice-responsive systems, such as a virtual attendant that speaks to the customer based on a dynamic prompt.

See the Agents with OpenAI Course

Bubble/FlutterFlow + ElevenLabs

Use the API to insert audio into your apps with interaction triggers or dynamic events.

ElevenLabs and NoCode: Open the door to creating experiences with voice AI

AI-generated voice is already a powerful, accessible and potential-rich reality. ElevenLabs is not just a tool, but an engine for creating immersive, automated and more human experiences.

If you want to learn how to integrate these possibilities with NoCode and AI tools, NoCode Start Up has the ideal paths:

The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

NoCode AI Manager Course: What it is, Who it is for and What its Objectives are

THE AI Agent Manager Training It is aimed at anyone who wants to enter the field of artificial intelligence in a practical way, without needing to know how to program.

The main objective is to train professionals capable of delivering automation and real solutions for companies using NoCode tools.

It is ideal for both those who want to offer services and those who want to open their own AI agency.

The training proposal is clear: enable you to bill more than R$14,000 per month working with intelligent solutions — a market that is only growing.

Access the training here

What is Included in the AI Agent Manager Course?

The training is structured in complete knowledge trails, with content organized by theme and level of mastery:

Topics covered:

  • Fundamentals from Zero to Advanced
  • Mastering Automations with AI
  • Creating and Selling AI Agents to Companies
  • Applied Prompt Engineering
  • Using NoCode tools like n8n, Dify, Make, OpenAI and more
  • Integration with WhatsApp, CRMs and payment gateways
  • Ready-to-clone and apply templates

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
  • Access to exclusive community, active and with direct support from instructors;
  • 1 year full access, including the Make paid plan;
  • NoCode Match, a hub of real opportunities in the AI and automation market.

Differences between AI Manager Training and Other Courses

Unlike many generic courses, this training was designed as a complete ecosystem of learning and practical application, with total focus on generating results for the student.

  • 100% classes structured, edited and with step-by-step teaching methods
  • Mentors present, community engaged
  • Trail with beginning, middle and end, organized with teaching methodology
  • Real opportunities and networking with companies and devs
  • Masterclasses with experts who already apply AI in agencies and companies

Take advantage of the offer

What is the cost of the AI Manager Course and Access Conditions?

The promotional value of the training is R$ 1,497 in cash or in up to 12 installments of R$ 157.53 on the credit card.

  • Full access for 12 months
  • 7-day money-back guarantee
  • Updates included at no additional cost

FAQ: Main Questions About the AI Manager Course

Do you need prior knowledge?
No. All content is designed for absolute beginners in AI and NoCode.

How long do I have access?
You will have 1 year of access complete to the platform and updates.

Can I ask for a refund if I don't like it?
Yes. You have 7 days warranty to test and cancel without bureaucracy.

I'm a PRO student. Do I already have access?
Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

What are the extra costs for tools?
The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

How long will it take for me to see results?
In the first few days, you can create and test your first AI agent.

What do I get when I purchase?
Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

To become an AI manager, the ideal is to start with training that combines practice and theory in an accessible way.

The NoCodeStartUp course focuses exactly on that, teaching how to create automations with AI without requiring prior programming knowledge.

You'll learn everything from the fundamentals to delivering real solutions using platforms like n8n, Make, Dify, Zapier, and OpenAI.

How Much Does an AI Manager Earn?

According to the market itself and reports from students, an AI manager can earn above R$10 thousand per month, working with consultancies, creating personalized agents or recurring services via intelligent automation.

Which Course Should I Take to Work with AI?

If you are looking for a practical, up-to-date course, with a strong connection to the market and no programming requirements, AI Agent Manager Training is one of the most complete currently.

It combines technical content with real-world application so you can start working quickly.

Invest in Yourself: Become a Professional AI Manager

If you are looking for a way to stand out in the digital market, enter the technology area without having to program and act with something that is growing rapidly, this course is a smart shortcut.

The AI Agent Manager Training provides a clear path, real support and applicable tools for you to work with AI in a professional manner.

It is applied learning with a total focus on solving real problems using artificial intelligence.

Access the AI Manager training now and start building a new future with AI.

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